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English(EN) Can Blockchains Reliably Train Machine Learning Models?

训练证明协议旨在提高区块链的能源效率

研究人员提出了一个名为训练证明(Proof of Training, PoT)的新协议,以使区块链能够可靠地训练机器学习模型。该方法旨在将目前用于工作量证明网络中能源密集型哈希难题的大量计算能力重新用于有价值的机器学习任务。PoT协议旨在保持区块链的激励结构,同时确保训练过程的可靠性、安全性和可扩展性。 AI

影响 这项研究可能通过利用现有的区块链基础设施,带来更节能和去中心化的AI模型训练方法。

排序理由 这是一篇介绍在区块链上训练机器学习模型的新颖协议的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

训练证明协议旨在提高区块链的能源效率

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这是一篇介绍在区块链上训练机器学习模型的新颖协议的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Peihao Li, Nadia Dahmani ·

    区块链能否可靠地训练机器学习模型?

    arXiv:2307.07066v2 Announce Type: replace-cross Abstract: Large proof of work (PoW) networks allow anyone to earn rewards by running computation-intensive hash puzzles for profit, yet they typically consume electricity comparable to that of medium-sized countries. Repurposing com…